| null_basis {doBy} | R Documentation |
Finds the basis of the (right) null space of a matrix, a vector (a 1-column matrix) or a model object for which a model matrix can be extracted.
null_basis(object)
object |
A matrix, a vector (a
1-column matrix) or a model object for which a model matrix can be
extracted (using |
Finds basis for the (right) null space x : Mx = 0.
A matrix (possibly with zero columns if the null space consists only of the zero vector).
Søren Højsgaard, sorenh@math.aau.dk
M <- matrix(c(1,1,1,1,1,1,0,0,0,0,1,1), nrow=4) null_basis(M) MASS::Null(t(M)) M <- c(1,1,1,1) null_basis(M) MASS::Null(t(M)) m0 <- lm(breaks ~ wool + tension, data=warpbreaks) null_basis(m0) MASS::Null(t(model.matrix(m0))) ## Make balanced dataset dat.bal <- expand.grid(list(A=factor(1:2), B=factor(1:3), C=factor(1:3))) dat.bal$y <- rnorm(nrow(dat.bal)) ## Make unbalanced dataset: 'B' is nested within 'C' so B=1 is only ## found when C=1 and B=2,3 are found in each C=2,3,4 dat.nst <- dat.bal dat.nst$C <-factor(c(1,1,2,2,2,2,1,1,3,3,3,3,1,1,4,4,4,4)) xtabs(y ~ C+B+A , data=dat.nst) mod.bal <- lm(y ~ A + B*C, data=dat.bal) mod.nst <- lm(y ~ A + B*C, data=dat.nst) null_basis( mod.bal ) null_basis( mod.nst ) null_basis( model.matrix(mod.bal) ) null_basis( model.matrix(mod.nst) ) MASS::Null( t(model.matrix(mod.bal)) ) MASS::Null( t(model.matrix(mod.nst)) )